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Use the world's leading AI engines power
Dokifi’s AI content verification management solution allows you to cross-check and verify your AI generated content, up to 90% faster, on an unbiased, cost-effective writing platform.
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Hallucinations in Large Language Models (LLMs) are a significant problem and are currently an active area of research and improvement in the field of Natural Language Processing (NLP).
Hallucinations refer to instances where an LLM generates responses that include made-up inaccurate information, presented as if it were factually correct.
Here are some recently published examples of AI Hallucinations and their serious impact!
“AI Hallucinations Invade OpenAI Latest GPT Model in Quite Surprising Places” by Dr. Lance B. Eliot, a world-renowned expert on Artificial Intelligence (AI) and Machine Learning (ML).
“ In an attempt, to be a helpful assistant, Claude can occasionally produce responses that are incorrect or misleading. This is known as "hallucinating" information, and it’s a byproduct of some of the current limitations of frontier Generative AI models…Users should not rely on Claude as a singular source of truth and should carefully scrutinize any high-stakes advice given by Claude” by Claude AI LLM Support (11/2024) https://support.anthropic.com/en/articles/8525154-claude-is-providing-incorrect-or-misleading-responses-what-s-going-on
Limited or dated training data: the AI system has not seen enough training data
Biased data: incorrect assumptions or conlcusions due to biased training data
Lack of domain knowledge: AI system not interpreting data correctly
Complexity of the task: complex tasks may require nuanced understanding
Memory Limitations: limited context windows or memory leading to facts being dropped
Error propagation: incorrect recomendations
Lack of trust: erodes trust in AI system eroded
Safety risks: e.g. incorrect medical diagnosis or financial decision
Reputation damage: reputation of individiual or organisation compromised
Wasted time: significant time to remediate the impact
There are some accepted approaches to address and mitigate hallucinations:
Here's how:
1, Dokifi keeps a human in the loop, allowing you to use multiple LLMs (up to 10) to help you identify, verify and filter out hallucinations
2, Dokifi determines the "best answer” using powerful algorithms along with the comprehensive data available from multiple LLM’s including your existing Knowledge Base
3, Dokifi enables you to create a "living library” helping you reduce errors while continually improving the content within your organizations’ knowledge base.
4, Dokifi allows you to quickly format your content, maximizing the power and reliability of your AI tools
5, Dokifi syncs with tools like Otter, to verify and manage the transition from AI video to content
Auto-Generated Drafts
Draft your initial response using high quality auto-generated text
Augmented Response
Augment and elevate your response using previous responses and other internal documents
Response Refinement
Improve and sharpen your response using alternative suggestions and text summarization
Knowledge Base Enhancement
Manage, grow and enhance your document knowledge base repository with additional AI content
Immediate Value
Intuitive interface allows the user to quickly use multiple LTM’s AI platforms to easily draft, augment and enhance responses by using AI with your existing document knowledge base
$190/month per user
3 AI generation engines, providing alternative suggested responses
Text Summarising and Text Rewrite
Email Support
200 Queries per month
$190/month per user
3 AI generation engines, providing alternative suggested responses
Text summarising and Text Rewrite
Email Support
Unlimited queries per month
Contact Dokifi to get a customised quote
3 or more AI generation engines providing alternative suggested responses
Text summarise / Expansion / rewrite
Priority Email and phone support
Unlimited queries per month
AI Knowledge Exchange to allow you to search your previous bids and company documents
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